Upload Plant Data. See Your Fuel Gap.
Identify how much fuel value your unit is already losing — using your existing operating data.
No operational changes. No outage. No disruption to your plant.
Quantified fuel gap relative to your unit's best observed performance — expressed in %, fuel, and annual cost.
Initial results within 24–48 hours. No site visit required.
Existing DCS or historian export. No new instrumentation required.
Most plants already demonstrate their best performance.
The issue is not capability — it is consistency.
Your plant is already performing better than it sustains.
We identify the gap. We measure it precisely. We give you a number you can use.
Thermal Power · Cement · Steel · Industrial Heat
What 1%–5% efficiency is worth on a 600 MW unit
Based on subcritical unit assumptions and 85% PLF. Indicative.
FX: 1 USD = 83.2 INR. Values indicative. USD figures shown as secondary reference.
Combustion systems lose performance when operating conditions drift from their demonstrated best. The gap is not visible in standard instrumentation — but it is present in every plant's operating history. We extract it using a deterministic, repeatable framework.
Where This Value Is Lost
- Load transitions
- Excess O₂ drift
- Air–fuel imbalance
- Fouling and slagging cycles
These conditions degrade the effectiveness with which heat is transferred to working surfaces — increasing fuel consumption for the same output.
Every 1% drift costs millions. We stop it at the source.
YBG embeds a deterministic measurement layer that locks in the plant's best operating condition and keeps efficiency from slipping.
- —Read-only use of live plant data
- —No hardware changes
- —No boiler or turbine modifications
- —No interaction with control or protection systems
YBG Global interprets live plant data at full native fidelity and defines the unit's own best-achieved performance across load conditions using a deterministic, repeatable framework.
The output is a precise, auditable number: the gap between current plant performance and the unit's own demonstrated best — expressed in operator-native units a plant engineer can defend.
Every output is traceable to validated plant data and reproducible by plant engineering teams without proprietary tools.
Continuously interpret live plant data at full native fidelity to reveal true operating behaviour.
Define the plant's own best-achieved performance across load conditions using deterministic, repeatable analysis — not models or benchmarks.
Deliver only results that are traceable, auditable, and engineering-verifiable — ensuring confidence from control room to corporate review.
Derived entirely from the unit's own best-observed performance under comparable load conditions.
From drift to demonstrated best.
Three-stage thermodynamic recovery.
Deterministic. Audit-grade. Operator-native units.
No models. No benchmarks. No control intervention.
Live plant data is interpreted at full native fidelity across all operating conditions. A deterministic, repeatable framework defines the unit's own best-achieved performance — quantifying the performance gap and recoverable value in operator-native units.
Continuous verification holds the unit within its best-achieved operating condition. Deviations are surfaced immediately in operator-native units. No control override. No external intervention. The plant's own discipline, made visible.
HydroHub™ oxyhydrogen combustion-enhancement equipment improves heat transfer to working-fluid surfaces — extending the unit's best-achieved performance beyond prior demonstrated state. Verified fuel reduction and lower emissions intensity, validated against the same auditable framework.
YBG's platform does more than identify fuel savings. It converts verified performance improvement into auditable CO₂ reduction datasets.
Sitting alongside the operator's existing control environment, YBG creates a unit-level measurement layer for fuel savings, efficiency improvement, and carbon reduction.
Where applicable methodologies and verification frameworks exist, these datasets may support compliance reporting or carbon-credit pathways.
Unit-level coal savings from real plant data.
Load-normalised performance against best observed operation.
Fuel savings translated into auditable CO₂ reduction.
- ▪Coal-fired subcritical, supercritical, and ultra-supercritical units
- ▪NTPC-scale operational environments
- ▪Private IPPs, captive power, and industrial boilers
- ▪Performance attribution and drift assessment
- ▪Engineering committee and audit workflows
- ▪Read-only data use
- ▪Deterministic analysis only
- ▪Fully traceable, engineer-verifiable outputs
- ▪Evidence-based, unit-specific insights
- ▪Suitable for PoC evaluation prior to tender or proposal
- ▪No AI inference, no predictive drift
- ▪No forecast-driven claims
- ▪Outputs directly reproducible by plant engineering teams
- ▪Every result traceable to validated plant data
- ▪Performance derived purely from demonstrated unit behaviour
- ▪Safe for audit committees, EPC partners, and OEM technical teams
- 01Share 3–5 days (or 2–4 weeks) of plant operating data export (CSV).
- 02YBG performs a deterministic Stage 1 diagnostic.
- 03Review findings with plant leadership and performance engineers.
- 04Decide next steps based on unit-specific evidence.
No operational changes are imposed. No control system access is required.
Two platforms. One corporate group. The intertwined orange and blue flame represents the controlled union of hydrogen and oxygen — the scientific foundation shared across YBG.
Deterministic, audit-grade analysis of live plant data. Quantifies the performance gap and recoverable value in operator-native units. No models. No benchmarks. No control intervention.
HydroHub™ oxyhydrogen combustion enhancement equipment for thermal power applications. Manufactured for technology partners, EPC contractors, and industrial OEMs to deploy under their own brand and project structures.